Instructions to use chauhoang/43c5e90a-91f9-d2b4-19f3-6ca01351db92 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use chauhoang/43c5e90a-91f9-d2b4-19f3-6ca01351db92 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/tinyllama") model = PeftModel.from_pretrained(base_model, "chauhoang/43c5e90a-91f9-d2b4-19f3-6ca01351db92") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d804d449879c62a479422483591d6e6125fac0da3d197ac568f3bd1a63a53fd
- Size of remote file:
- 13.7 MB
- SHA256:
- 81dfd91a4b2572dfff6be2ab8791b142712c53177ff93884d7c746b380ff77cf
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